q138ben

algorithmicTrading

automatic trading in OANDA Trade platform

autoLabelling-and-feature-extraction

Labelling data can be tedious and time-consuming. This is especially the case when you have large amounts of data. For data that contains a definite beginning and end, such as pausing between actions, this can be done automatically.

awesome-robotics

A list of awesome Robotics resources

dataCrawl

An example on crawling brickset.com

DeepTemporalClustering

:chart_with_upwards_trend: Keras implementation of the Deep Temporal Clustering (DTC) model

gait-recognition-DCNN

gait recognition using a deep convolutional neural network

gait_phase_and_trajectory_prediction

This project is to predict multi-step gait phases and gait trajectory

IMUDataStream

This is to build a server with C sharp and a clinet in python. They are then to communicate with each other. So the data can be streamed to a computer for further analysis.

q138ben/gait_phase_and_trajectory_prediction

This project is to predict multi-step gait phases and gait trajectory

q138ben/autoLabelling-and-feature-extraction

Labelling data can be tedious and time-consuming. This is especially the case when you have large amounts of data. For data that contains a definite beginning and end, such as pausing between actions, this can be done automatically.

q138ben/awesome-robotics

A list of awesome Robotics resources

q138ben/DeepTemporalClustering

:chart_with_upwards_trend: Keras implementation of the Deep Temporal Clustering (DTC) model

q138ben/gait-recognition-DCNN

gait recognition using a deep convolutional neural network

q138ben/algorithmicTrading

automatic trading in OANDA Trade platform

q138ben/dataCrawl

An example on crawling brickset.com

q138ben/IMUDataStream

This is to build a server with C sharp and a clinet in python. They are then to communicate with each other. So the data can be streamed to a computer for further analysis.

q138ben/BMC

Notes on Scientific Computing for Biomechanics and Motor Control

q138ben/Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

q138ben/DeepReinforcementLearningInAction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

q138ben/FLOW19_MLSchool

Code for the hands-on sessions of the 2019 FLOW School on Machine Learning

q138ben/gait-controller

This project is to use online learning algorithm to predict ground reaction force with kinematic data.

q138ben/NCRF

Cancer metastasis detection with neural conditional random field (NCRF)

q138ben/opensim-core

SimTK OpenSim C++ libraries and command-line applications, and Java/Python wrapping.

q138ben/osim_2d

q138ben/rtosim

The real-time OpenSim extension (RTOSIM) is a set of libraries in C++ that wrap OpenSim APIs to enable the real-time computation of inverse kinematics and inverse dynamics.

q138ben/stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

q138ben/Stock-Trading-Environment

A custom OpenAI gym environment for simulating stock trades on historical price data.

q138ben/time-series-forecasting-with-python

A use-case focused tutorial for time series forecasting with python

q138ben/UsefulWebMachineLearning

This is to mark useful resources for machine learning.